conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction CVPR 2023 Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023 Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures CVPR 2023 SparseMAE: Sparse Training Meets Masked Autoencoders ICCV 2023 Sparse Parameterization for Epitomic Dataset Distillation NeurIPS 2023 Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023 Spatialization Quality Metric for Binaural Speech Interspeech 2023 Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising CVPR 2023 Spatial-Spectral Transformer for Hyperspectral Image Denoising AAAI 2023 Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence CVPR 2023 Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image CVPR 2023 Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction AAAI 2023 Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation CVPR 2023 Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild CVPR 2023 Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction AAAI 2023 Speaker Extraction with Detection of Presence and Absence of Target Speakers Interspeech 2023 Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Units EMNLP 2023 Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition NeurIPS 2023 Spectral Augmentations for Graph Contrastive Learning AISTATS 2023 Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video ICCV 2023 Speech Emotion Recognition using Decomposed Speech via Multi-task Learning Interspeech 2023 SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres ACL 2023 Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations Interspeech 2023 Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? Interspeech 2023 Speech-to-Speech Translation for a Real-world Unwritten Language ACL 2023